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Laboratory. This is an opportunity to be part of a team helping with the design of new system software and runtime infrastructure to improve the performance and energy efficiency of future scientific computing
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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physics knowledge into DL model design and training, these models outperform traditional methods even without labeled training data (https://www.nature.com/articles/s41524-022-00803-w ). Application spaces
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to contribute to cutting-edge research in catalysis, with a focus mechanistic investigation of surface effects in non-traditional catalyst systems In this role you will • Conduct research as part of a
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, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click
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their relationship to topology in a variety of materials exhibiting out-of-plane component of magnetization. Here the target materials are those with interfacial DMI (e.g.: Co/Pt multilayers) and chiral
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to microelectronics. The candidate will be part of a highly interdisciplinary project involving X-ray scientists, physicists, materials scientists, and computational scientists to solve challenging problems in
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mentorship, on supported inorganic and organometallic catalysts for small molecule activation as part of the EFRC Catalyst Design for Decarbonization Center (CD4DC) initiative. Key Responsibilities Design
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equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here to view Argonne employee benefits! As an equal employment
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-generation nuclear science experiments at Jefferson Lab and the Electron-Ion Collider (EIC). As part of our growing multidisciplinary team, you will contribute to the development of superconducting nanowire